Analysis of Collaborative Driving Effect of Artificial Intelligence on Knowledge Innovation Management

Abstract

Artificial intelligence (AI) plays a connotative driving role in cross-border knowledge and factor identification of innovation management. This study explores the collaborative driving effects and influence factors of artificial intelligence on knowledge innovation management. Based on the artificial intelligence application data in knowledge innovation management from 2011 to 2020, this paper adopts the synergy model and the adiabatic elimination to empirically test the influence mechanism and key factors of AI for knowledge innovation management. The results showed that artificial intelligence had a significant impact on dynamic elements, capacity elements, environmental elements of knowledge flow, and stock management. AI made endogenous impacts on the promotion of knowledge flow ability and network diffusion. AI technology promoted the formation of the original technological advantages of innovation and had obvious automatic recognition function for new knowledge, which stimulated the main internal transmission power of knowledge innovation. Furthermore, AI actuated energy level of original innovation and progressive achievements of cutting-edge technology, which mainly came from the deep runoff knowledge of innovation system. Knowledge network affected the transmission efficiency and retention proportion of deep runoff knowledge. The penetration proportion of artificial intelligence determined cooperation space of intelligent industry and application direction of integrated knowledge.

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